Replication Data for: Promoting physical activity with the Out of School Nutrition and Physical Activity (OSNAP) Initiative: a cluster-randomized controlled trial

This paper utilizes three datasets containing variables relevant to physical activity, in order to assess change in physical activity levels resulting from the OSNAP intervention. The datasets are separated by level into person level, person-period level, and person-day level data. The person level dataset contains demographic and study flow variables for all participants consented to participate in the OSNAP study, as published in Table 1 and Figure 1. It merges with the person-period and day level datasets on the variable 'childid'. The person-period level dataset contains variables detailing average accelerometer wear, physical activity minutes provided by the afterschool programs, and weather characteristics, as published in Table 2. It merges with the person level dataset on the variable 'childid' and with the day level dataset on the variables 'childid' and 'post'. The person-day level dataset contains variables used in regression models (Table 3), with accelerometer-derived minutes of physical activity as the outcomes.